May 4th, 2020 — TECHNOLOGY, TUTORIALS

Focus on the Easy Bits: CI/CD with Azure and Github

This tutorial will get you started with a basic CI/CD workflow using Github Actions to deploy a Web application to Azure.

CI/CD Overview

CI/CD is an acronym representing continuous integration and continuous delivery. According to CI/CD, the quality of software is correlated to how often it is deployed. If the deployment process is difficult, the quality of software will inevitably be low. If it is easy to make small changes and deploy them without much risk, software quality increases over time. It all starts with the practices and tools we use to create and manage software code.

Basic Version Control Concepts

Continuous Delivery

Continuous delivery is a way of moving software changes to production. When it is implemented, software changes go live with a minimum manual intervention and very little deployment pain. Continuous delivery requires business practices such as building quality in, working in small batches, automating repetitive tasks, continuous improvement, sharing responsibility and collaborating across departments.[1]

Continuous Integration

Continuous integration helps us achieve continuous delivery. It is a method of writing software that prevents rework and long-lived, divergent projects. To achieve continuous integration, break work into small batches. These batches should be completed in a day or less. The developer starts their work by cutting a feature branch. When she completes the work, she opens a pull request and invites team review, then merges the feature into trunk. This reduces errors, increases developer learning, and facilitates collaboration.

Testing is key to the success of continuous integration. This includes automated unit tests and automated deployment to a testing environment on merging a pull request to trunk. Not everything relies on automation, however. Developers must manually verify their changes in the testing environment when they are deployed.

This is often called trunk-based development.

At the end of each development interval, we must have integrated, tested, working, and potentially shippable code, demonstrated in a production-like environment, created from trunk using a one-click process, and validated with automated tests.[2]

Unit Tests

Unit tests are simple programs that prove the program behaves predictably. A critical part of continuous integration is the assurance that if code is broken, unit tests will fail. This, in turn, means the deployment will fail. Broken code will not make it to production.

Prerequisites

  1. Github account configured to use SSH
  2. If you are unfamiliar with Node.js, please review the my COVID-19 Tracker tutorials:
  3. Install the Azure CLI
  4. Log in to your Azure account in the CLI az login

Manage the Code

Since you want Github to deploy on your behalf, create your own repository for it.

git clone [email protected]:harveyramer/covid-19-demo-express-js-app.git
cd covid-19-demo-express-js-app

Make a Github Repository

Name it whatever you wish, choose to make it public or private, and create your repository.

Replace the origin of this project ([email protected]:harveyramer/covid-19-demo-express-js-app.git) with your own and push this code to your repository. Assuming your name is John Doe and you named your repository My Repository, your commands will be the following.

git remote set-url origin [email protected]:johndoe/my-repository.git
git push

To check out the latest branch and install the project, execute the following commands.

git checkout tutorial-3
npm install

Run the Tests

This project uses the Jest unit testing framework to run two simple unit tests. One verifies that a getData function calls a specified API Url. The other checks to see that an HTML render function uses the data provided to it. Go ahead and run the unit tests to verify that this project is ready to deploy.

npm run test

Unit Test Success

Configure Continuous Integration

Authorizing Azure

At the outset of this tutorial, you logged in to Azure with the command az login. This redirected you to a browser and authorized your local command line to access resources on your behalf. Now you will create a Service Principal which will be used to authorize Github to deploy on your behalf. If you followed along on our previous tutorial, you already have an application running in Azure. Replace the tokens {My App Name}, {My Azure Subscription Id}, and {My App Service Plan Id} then execute the following command.

// Your command will look like this:
// az ad sp create-for-rbac --name "covid19tutorial" --role contributor --scopes /subscriptions/7d806f61-8462-123456789-101112-985277452dd7/resourceGroups/appsvc_linux_centralus --sdk-auth
az ad sp create-for-rbac --name "{My App Name}" --role contributor --scopes /subscriptions/{My Azure Subscription Id}/resourceGroups/{My App Service Plan Id} --sdk-auth

The App Service blade in Azure provides all the information you need to configure and run the command above.

App Service Blade

When your Service Principal is created, a JSON object is output in the CLI.

  1. Copy the Service Principal object
  2. In a Web browser, go to your Github repository
  3. Navigate to your repository’s Settings page and select Secrets from the menu it provides.
  4. In the Secrets view, select Add a new secret.
  5. Name the secrete AZURE_CREDENTIALS and paste your JSON service principal into the Value field.
  6. Add the secret.

Adding a Github Secret

Set Up a Github Workflow

Open the workflow file at .github/worflows/azure.yml and change line 7. It should use the same Application Name you provided when creating the Service Principal.

Editing the Azure YAML file

Deploy with Github Actions

On pushing these code changes to the master branch, our Github workflow will kick off. To make that happen, we will push our code to Github and merge our changes to the master branch. To do that, we’ll be on the command line for a bit. Bear with me.

git add .
git commit -m "Configuration changes for Github workflows."
git push
git checkout master
git pull origin tutorial-3
git push

Navigate to the Actions tab of your Github repository. If all is well, in about 5 minutes, your Web app will deploy to Azure.

Successful deployment of Node.js to Azure with Github

Verify Deployment

Open the /src/views/about.pug file and add the following line to the end of the file, then save it.

    p Deployed by Github to Azure

Next, commit the change and push it up to master.

git add .
git commit -m "Verify Github deployment."
git push

Check out your Actions tab to monitor deployment. On completion, visit your Web app’s About page (for example, *covid19tutorial-myname.azurewebsites.net/about*) to see the paragraph you just deployed.

Successful deployment

Conclusion

This tutorial introduced CI/CD concepts and showed an example of Continuous Integration by deploying changes made in a feature branch to Azure. We skipped over some other concepts such as Pull Requests, forking Github repos, and the benefits of breaking large tasks into small chunks. These, you are encouraged to investigate on your own.

Extra Credit

Add an Environment Variable

If you would like to run this project locally, you will need to add an environment variable. On line 6 of the /src/index.js file, you can see why. The process.env property holds all environment variables exposed to this program.

const port = process.env.PORT;

To expose a port to our application, create a .env file in the root of the project. Enter the following line into the file.

PORT=3000

This completes our local configuration. Start the local server.

npm run start

Verify the project is available at http://localhost:3000.

Footnotes


  1. Ferguson, Nicole Phd., Humble, Jez and Gene Kim. Accelerate: Building High Performing Technology Organizations. IT Revolution, 2018, p. 43 ↩︎

  2. Kim, Gene., Jez Humble, Patrick Dubois, and John Willis. The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations. IT Revolution, 2016, p. 149 ↩︎

Harvey Ramer
Harvey Ramer
Harvey has been writing code for twenty years. He builds web applications with React, Node.js, and MongoDB and deploys them to the cloud with CI/CD pipelines. He talks and writes about the Christian worldview, technology, startups, and how differences can become a collaborative asset.